JPH11259510A - Information distribution system, its method and medium for recording information distribution program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To select an information system suitable for carrying information prepared by a user. SOLUTION: An information storage part 11 stores information sent from a user terminal 20 and an information system 30, an information analysis means 12 extracts an attribute (for instance, keyword) to be a feature from the sent information and stores it in an attribute storage part 13, and a sending destination decision means 14 selects information matched with the interest of a user by using the attribute of the information stored in the attribute storage part and stores the selected result in a sending destination storage part 15. An information sending means 17 sends information recommended to the user stored in the sending destination storage part 15 to the information system 30 and the user terminal 20 while referring to a procedure and a format for registering the information in the information system stored in a sending system storage part 16.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an information distribution system, an information distribution method, and a recording medium on which an information distribution program is recorded, and more particularly, to information created on a user (client) side or stored on a server side. The present invention relates to an information distribution system and information distribution method for distributing (sending, recommending, posting, posting, registering, etc.) information (contents), and a recording medium on which an information distribution program is recorded.

[0002]

2. Description of the Related Art With the rapid spread of the Internet in recent years, it has become possible to refer to various kinds of information. However, it is very troublesome to find information suitable for one of the various kinds of information. .

[0003] In order to reduce this annoyance, a technique called "information filtering" for extracting information that suits the user's interest from a flood of information has been studied, and several services using this technique have been studied. Although it started with a server provided by such an information provider, the conventional information filtering technology was applied to the information flow from the server side to the client side.

[0004] However, in order to support the distribution of information between a user and another user, information is also transmitted between a sender (client) of the information and a provider (server) holding and providing the information. It is necessary to apply filtering technology. In fact, the flood of information has become a serious problem in recent years not only for users who receive information but also for users who transmit information. Because the user who sends the information,
We want all recipients interested in the information they send to read it, but finding the right server to register the information with is very cumbersome.

[0005] On the information transmitting side, a conventional technique for solving this kind of problem is disclosed in Japanese Patent Application Laid-Open No. H5-25-2.
No. 27203 (Optimal bulletin board automatic selection service method)
Are known.

[0006] This prior art selects an electronic bulletin board suitable for posting information created by a user from a plurality of electronic bulletin boards in an electronic mail center. Hereinafter, an outline of this technique will be described with reference to FIG.

[0007] In the electronic mail center 500, a mail receiving unit 501 receives a transmission mail from the user terminal 700, analyzes it by a mail content analysis unit 502, and stores a mail content analysis result storage unit 520. To accumulate. Optimal bulletin board selection unit 503
Selects an optimal bulletin board using the dictionary 530 based on the mail analysis result, and the bulletin board registration unit 504 registers the mail in the optimal bulletin board 540 based on the selection result. The selection result sending unit 505 notifies the bulletin board name of the selected bulletin board to the user terminal 700.

[0008]

However, this conventional technique has the following problems.

First, the first problem is that when there are a plurality of servers that provide information, an appropriate destination cannot be selected.

The reason is that the conventional technique selects an appropriate destination from a plurality of bulletin boards in a server,
This is because no consideration is given to the case where there are a plurality of servers, and an appropriate server cannot be selected from the plurality of servers.

A second problem is that network traffic is wasted.

[0012] The reason is that the prior art does not consider the case where there are a plurality of servers, so that the user searches for a server suitable for providing the information created by the user, or confuses a known server. This is because a lot of network traffic is consumed besides delivering the information created by the user to the user who is interested in the contents in order to gradually register.

An object of the present invention is to provide an information distribution system, an information distribution method, and a recording medium on which a program for constructing an information distribution system is recorded, which solves these problems of the prior art.

[0014]

According to the present invention, the information filtering technique is also applied to the information transmitting side when selecting the destination of the information, and the information filtering technique is applied from the information sender to the information receiver. Information is distributed by connecting. The present invention is roughly divided into the following first to seventh inventions.

In the information distribution system according to the first invention, the destination storage means (14 in FIG. 1) stores an attribute storage unit (1 in FIG. 1).
Using the attributes of the information stored in (3) (in this specification, bibliographic information such as the name of the creator of the information, and data such as keywords and word frequencies included in the information are described as attributes) The user selects an information system 30 suitable for sending the information created by the user in the user terminal 20. The destination determining means also determines a destination to which information is to be sent from an information system such as an electronic bulletin board or WWW. The information sending means (17 in FIG. 1) sends information created by the user or information that the information system wants to distribute to the determined destination based on the determination of the destination determining means.

In the first embodiment of the first invention, the similarity calculating means (141 in FIG. 5) calculates the similarity between information from the information attributes, and the destination selecting means (142 in FIG. 5) Using the obtained similarity, an information system in which information similar to the information created by the user is registered, or a user who created information similar to the past in the past is determined as a destination.

In the second embodiment of the first invention, the interest learning means (143 in FIG. 8) learns the interests of the user and the interests handled by the information system from the attributes of the information, and calculates the matching degree calculation means (143). In step 144 in FIG. 8, the degree of matching between the learned interest and the information is calculated, and the destination matching means (145 in FIG. 8) uses the degree of matching to match the interest to the information created by the user. By selecting an information system and selecting information that matches the interests of each user for each user, an appropriate information system for registering the information created by the user is selected. For the user, information that suits the user's interest is recommended.

In the information distribution system according to the second invention, the destination storage means (43 in FIG. 10) includes an evaluation storage unit (FIG. 1).
The destination of the information to be sent is determined by using the evaluation of the information for each user stored in (42 of 0).

In the information distribution system according to a third aspect of the present invention, the destination determining means (43 in FIG. 10) includes an attribute storage unit (FIG. 1).
The destination of the information to be transmitted is determined by using the attribute of the information stored in 13) and the evaluation of the information of the user of the destination selection device stored in the evaluation storage unit (42 in FIG. 10). Is determined.

In the information distribution system according to a fourth aspect of the present invention, in the evaluation storage unit (61 in FIG. 16), the evaluation of the information of the user of the information destination selection device is sent to the information system that has sent the evaluated information. Receiving the information system user's evaluation of the information registered by the destination selection device from the information system. Thereby, the destination determining means (FIG. 16)
43), the attribute of the information stored in the attribute storage unit (13 in FIG. 16) and the evaluation storage unit (61 in FIG. 16).
The destination of the information to be sent is determined using the evaluation of the information of the user stored in the information system and the evaluation of the information system user.

In the information distribution system according to a fifth aspect of the present invention, the destination determining means (81 in FIG. 18) sends the user's interest in the destination selection device to the information system, and the information system user's interest is transmitted from the information system. Receive. As a result, in the destination determining means (81 in FIG. 18), the attribute of the information stored in the attribute storage unit (13 in FIG. 18) and
Evaluation of the information of the user of the destination selection device stored in the evaluation storage unit (42 in FIG. 18) and transmission of information to be transmitted using the interest of the information system user transmitted from the information system. Have decided ahead.

In the information distribution system according to the sixth aspect of the present invention, in the evaluation storage unit (101 in FIG. 20), the information whose evaluation has been evaluated is sent to the destination selection device that has sent the evaluation, and the information is sent from another destination selection device to the destination selection device. The evaluation of the user for the information sent to the destination selection device is received. Thereby, in the destination determining means (101 in FIG. 20), the attribute of the information stored in the attribute storage unit (13 in FIG. 20) and the destination stored in the evaluation storage unit (101 in FIG. 20) are determined. The destination of the information to be transmitted is determined using the evaluation of the information of the user of the selection device and the evaluation of the information of the user of the other information transmission destination.

In the information distribution system according to a seventh aspect of the present invention, the destination determining means (111 in FIG. 22) sends the user's interest to another destination selection device, and transmits the user's interest from the other destination selection device. Receive interest. As a result, in the destination determining means (111 in FIG. 22), the attribute storage unit (FIG. 22)
13), the evaluation of the information on the user of the destination selection device stored in the evaluation storage unit (42 in FIG. 22), and the information transmitted from another destination selection device. The destination of the information to be transmitted is determined using the interest of the user of the other destination selection device.

In the second to seventh inventions, the destination determining means may have the following functions.

First fitness level estimating means (432 in FIG. 13)
Estimates the relevance from the user's evaluation. Therefore, in the conventional method of selecting information based on attributes such as keywords and the frequency of word appearance, topics that users are interested in (that is, keywords such as keywords) Information), but the disadvantage that the user must read and judge whether the information is valuable is reduced.

Second fitness estimation means (435 in FIG. 13)
Uses information attributes to estimate relevance,
Even if the information is not recommended or evaluated by anybody, the relevance can be estimated in the same manner as in the conventional method of selecting information based on attributes such as keywords and the frequency of word appearance.

The interest learning means (433 in FIG. 13)
Since the relevance estimated by the relevance estimating means is used, even for attribute values and unknown words that are not included in the information evaluated by the user, if the information is included in the information evaluated by other users, It can be used for estimating the fitness in the second fitness estimating means.

Therefore, in the conventional method of selecting information based on attributes such as keywords and the frequency of word appearance, a user learns from the attributes of information evaluated by the user and the evaluation history of the user for estimating the fitness. Was using the interests of the
If the information has unknown words or attribute values that do not appear in the user's evaluated information, it is not clear how to reflect the unknown words or attribute values to the relevance. The problem that the selection accuracy is reduced is reduced.

The first degree is determined by the matching degree integrating means (434 in FIG. 13).
Utilization of the first fitness estimating means for estimating the fitness from the user's evaluation by integrating the fitness estimated by the fitness estimating means of the first and the second fitness estimating means The problem that only information evaluated by some of the persons is obtained, and the accuracy of information selection is low unless a certain amount of evaluation is collected is reduced.

According to the invention of the present application, by using these components, information selection accuracy is higher than that of the prior art, and it is possible to recommend information more suited to the interests and preferences of the user and to select an information system suitable for posting information. It is possible to provide an information distribution system, an information distribution method, and a recording medium on which an information distribution program is recorded, which can perform the above and solve the problems of the related art, and can distribute information.

[0031]

Next, embodiments of the present invention will be described in detail with reference to the drawings.

(First Embodiment) [Description of Configuration] FIG. 1 is a block diagram showing the configuration of a first embodiment of the present invention. Referring to FIG. 1, the present embodiment includes a destination selection device 10, a user terminal 20 on the client side, and an information system 30 on the server side. Further, the user terminal 20 and the information system 30
Are singular in the drawings, but may be plural. In the present embodiment, a description will be given assuming that there are a plurality of user terminals and a plurality of information systems.

The destination selection device 10 includes an information storage unit 11, an information analysis unit 12, an attribute storage unit 13, a destination determination unit 14, a destination storage unit 15, a transmission method storage unit 16, and an information transmission unit 17. It is configured.

The information storage unit 11 stores information created by the user via the information input unit 22 and information sent from the information system via the information sending unit 31. Here, the information input from the information input unit 22 is, for example, the content of an article to be posted on the electronic bulletin board system created by the user when the information system 30 is an electronic bulletin board system. The information input from the information sending unit 31 is the content of an article (contents) held by the information system 30 that the user wants to recommend to the user terminal 20, such as new arrival information. Also, in this specification, the flow of information to the user terminal is described as “recommended”, and the flow of information to the information system is described as “registration”.

The information analysis means 12 extracts the characteristic attribute from the information stored in the information storage
3 is stored.

The destination determining means 14 determines the destination of the information newly stored in the information storage unit 11. At this time, by using the attributes of the information stored in the attribute storage unit 13, the information system to be registered (transmitted) is determined from the plurality of information systems 30, or the information system 30 is transmitted to the destination selection device 10. The destination is determined by determining the user terminal to recommend (send) the information stored in the information storage unit 11 among the plurality of connected user terminals 20.

The destination storage unit 15 stores the destination determining means 14.
Is stored.

The transmission method storage unit 16 stores formats such as a procedure for registering information in an information system and a procedure for recommending information to a user terminal.

The information sending means 17 sends the information to the information system stored in the sending mode storage unit 16 if the sending destination stored in the sending destination storage unit 15 indicates registration in the information system. The information is sent to the information system 30 while referring to the registration procedure and format. If the destination stored in the destination storage unit 15 indicates a recommendation to the user terminal, a procedure for registering information in the user terminal stored in the transmission method storage unit 16 The information is sent to the user terminal 20 while referring to the format.

[Description of Operation] Next, the operation of this embodiment will be described with reference to the drawings.

FIG. 2 is a flowchart showing the operation of the present embodiment. Hereinafter, the operation of each configuration will be described along this flowchart.

When information is sent from the user terminal 20 or the information system 30, the information storage unit 11 registers the information (A1). Here, the information input unit 22 and the information sending unit 3
FIG. 3 shows an example of the information sent from No. 1. In the example of FIG. 3, information to be registered in the server or to be recommended to other clients is transmitted from the client of Atsuko Aoki by e-mail, and information to be recommended to the client is transmitted from the server (information system) of the electronic bulletin board A. Is transmitted. When such information is received, the information storage unit 11 stores the I
Assign D and save.

The information analysis means 12 extracts a characteristic attribute from the information stored in the information storage section 11 and stores it in the attribute storage section 13 (A2).

The destination determining means 14 uses the attribute of the information stored in the attribute storage unit 13 to select an information system to register the information newly stored in the information storage unit 11,
Then, the user terminal to be recommended is selected, and the destination is stored in the destination storage unit 15 (A3).

The information sending unit 17 refers to the destination stored in the destination storage unit 15 and stores the information to be sent (information newly stored in the information storage unit 11) in the sending method storage unit 16. While referring to the stored procedures and formats, the information is sent to the information system 30 or the user terminal 20 (A
4).

According to the first aspect of the present invention, it is possible to send information to an appropriate destination without being conscious of the destination of the information.

(First Embodiment of the First Invention)
The operation of the destination determining means 14 of the present invention will be described in more detail using a specific embodiment.

FIG. 5 shows the configuration of the destination determining means 14 in this embodiment. Referring to FIG. 5, the destination determining unit 14 includes a similarity calculating unit 141 and an information selecting unit 14.
2 is provided.

The similarity calculation means 141 is provided in the attribute storage unit 13
From the attribute of the information stored in the information storage unit 11, the information transmitted from the user terminal 20 or the information system 30 to the information storage unit 11 and newly stored in the information storage unit 11
In step 1, the similarity between the pieces of stored information is calculated.

The destination selection means 142 uses the similarity calculated by the similarity calculation means 141 to select information having a high similarity between the newly stored information and the already registered information. Information system 3 that holds highly identifiable information
0 or the user terminal 20 that has created the information having a high degree of similarity is determined as the destination, and the destination is stored in the destination storage unit 15.

Next, the destination determining means 1 in this embodiment is described.
4 will be described with reference to FIG. In addition, the same reference numerals are given to portions performing the same operations as those in the first embodiment described above, and the portions are not particularly described.

The similarity calculating means 141 is provided in the attribute storage unit 13
The degree of similarity between registered information and registered information is calculated from the attribute of the information stored in (A301).

Using the similarity calculated by the similarity calculating means 141, the destination selecting means 142 compares the similarity between the input information and the already registered information, and among the registered information, , An information system 30 that selects information having a high similarity and holds the information having a high similarity, or
The user terminal 20 that has created the information having a high degree of similarity is selected as a destination, and the selection result is stored in the destination storage unit 15 (A302).

Here, this embodiment will be described in detail using a more specific example.

FIG. 4 shows an example of information stored in the information storage unit 11. In this example, each piece of information is classified in the information system such as an information ID for uniquely identifying the information, a name of a creator who created the information, a name of a terminal that sent the information, and network news. When there is a genre name indicating the classification of the information, there are items of the main body of the information. The terminal name is the user terminal 20
When the information is sent from the information system 30, the information is information that can uniquely identify the user terminal, such as the e-mail address and IP address of the user who sent the information. It is desirable that the transmitted information system is information that can be uniquely specified (for example, a URL or the like). Also, an example will be described in which information with an information ID of 18 is newly registered in the information storage unit 11 and the registration / recommendation destination of this information is determined.

FIG. 6 shows an example of the attributes stored in the attribute storage means 13. In the example shown in FIG. 6, a source of information such as a terminal name necessary for transmitting information and a frequency of occurrence of a word in the main body of the information in FIG. 4 (hereinafter referred to as word frequency) are used as attributes. ing.

At this time, for example, a correlation coefficient can be used as a method of calculating the similarity between the information in the similarity calculating means 141. The correlation coefficient between the word frequencies of the information A and B is
It can be calculated by the following equation.

[0058]

## EQU1 ## Σi (frequency of word i in information A × frequency of word i in information B) / (√ (Σsquare of frequency of word i in information A) × √ (Σfrequency of word i in information B 2
For example, the similarity between the information IDs 10 and 18 in FIG.
From the above correlation coefficient formula

[0059]

(Equation 2) (0.1 * 0.3 + 0.2 * 0.2 + .3 * 0.1 + 0.4 * 0.4) / (√ (0.1 * 0.1 + 0.2 * 0.2 + 0.3 * 0.3 + 0.4 * 0.4) * √ (0.3 * 0.3 + 0.2 * 0.2 + 0.1 * 0.1 + 0.4 * 0.4)) = (0.03 + 0.04 + 0.03 + 0.16) / (√ (0.01 + 0.04 + 0.09 + 0.16) * √ (0.09 + 0.04 + 0.01 + 0.16)) = (0.26) /(√0.3*√0.3)=0.26/0.3=0.866 ... The closer to 1, the higher the similarity between the information. Destination selection means 14 in this embodiment
In step 2, the similarity between the information newly input in the information storage unit 11 and the already registered information is calculated, and the information system or the user terminal which is the terminal of the information ID having the high similarity is determined as the destination. The destination is stored in the destination storage unit 15.
To memorize.

In the example of FIGS. 4 and 6, the information ID is 1
Assuming that the similarity of the information with the information ID of 10 is the closest to the information of 8, Atsuko Aoki is determined as the destination selected by the destination selection means 142. The email address of Atsuko Aoki (at
suko ＠ ×××. ne. jp) is registered as the destination.

The information sending means 17 is provided with the destination storage means 15
, And a transmission method suitable for the destination is obtained by referring to the transmission method storage unit 16. Then, the information with the information ID of 18 is sent (recommended) to Atsuko Aoki.

However, the information having the information ID of 18 need not be directly transmitted. For example, a message may be sent to Atsuko Aoki that there is information suitable for Atsuko Aoki.

(Second Embodiment of the First Invention)
The operation of the destination determining means 14 of the present invention will be described in further detail using another specific embodiment.

FIG. 8 shows the configuration of the destination determining means 14 in this embodiment. Referring to FIG. 8, the destination determining means 14 includes an interest learning means 143 and a fitness estimating means 144.
, An information selection unit 145, and an interest storage unit 146.

The interest learning means 143 learns the interest of the user and the interest of the information provided by the information system from the attributes of the information stored in the attribute storage unit 13.

The interest storage means 146 stores the interest learning means 14
3 stores the interest learned for each user or each information system.

The suitability estimating means 144 includes the interest storing means 1
With reference to 46, based on the interest of the user or the information system learned by the interest learning means 143 and the attribute of the information stored in the attribute storage unit 13, the user and the information system and the information storage unit 11 newly store the information. The degree of conformity with the obtained information is calculated.

The destination selection means 145 uses the relevance calculated by the relevance calculating means 144 to transmit the newly stored information and the user or the information system having high relevance to the user and the information system. The destination is determined, and the determined destination is recorded in the destination storage unit 15.

Next, an operation example of this embodiment will be described with reference to FIG.

The interest learning unit 143 learns the interests of the user and the information system from the attributes of the information stored in the attribute storage unit 13 (A311), and stores the learning result in the interest storage unit 146.

As the user's interest, an attribute of information created by the user, for example, a word frequency can be used. In this case, when the same user creates a plurality of pieces of information as in the information IDs 11 and 12 in FIG. 4, the average of the word frequencies of the information created by the same user is used as the user's interest. It is possible to do.

The interests handled by the information system include:
Information attributes, such as word frequency, are available. When the word frequency is used, the average of the word frequencies of the information registered from the information system may be considered as the interest handled by the information system. Also, when information is managed in a plurality of genres in the information system as in the personal computer communication C of FIG. 4, it is desirable to learn interest for each genre. The timing at which the interest learning unit 143 learns may be, for example, when a new attribute is added to the attribute storage unit 13.

The fitness calculating means 144 stores the interest storing means 1
From the user and the interest of the information system stored in 46, and the attribute of the information newly stored in the information storage unit 11, the newly stored information and the user stored in the interest storage unit 146. Calculates the degree of conformity between the system and the information system (A3
12).

At this time, for example, a correlation coefficient can be used as a method of calculating the fitness. Here, assuming that the newly stored information is information A and the user stored in the interest storage unit 146 is user B, information A and user B
Can be calculated by the following equation.

[0075]

３i (frequency of word i in information A × frequency of word i in interest of user B) / (√ (Σsquare of frequency of word i in information A) × (√ (Σi The square of the frequency of the word i in interest))) The fitness calculating means 144 calculates the fitness between the user and the information system stored in the interest storage means 146 and the newly stored information. And decides on a highly compatible information system or user terminal as the destination,
This destination is stored in the destination storage unit 15.

In this example, the degree of matching between the newly registered information A and the interest of the user or the information system stored in the interest storage means 146 is calculated, and the destination is determined. However, there may be a case where the interest of the user who transmitted the information A is stored in the interest storage unit 146. In this case, the matching degree calculation unit 144 refers to the interest storage unit 146 and uses the interest of the user (information system) that has transmitted the information A to match the user who transmitted the information A. Another user or information system may be determined as the transmission destination.

(Embodiment of the Second Invention) Next, an embodiment of the second invention of the present invention will be described.

[Description of Configuration] FIG. 10 is a block diagram showing the configuration of the second invention. In the configuration of FIG. 10, the evaluation storage unit 42 is added to the configuration of the first invention in the destination selection device, and the evaluation input unit 23 is added to the user terminal. Hereinafter, only portions different in function from the first invention will be described.

The evaluation input section 23 has a function of inputting any evaluation for the recommended information.

The evaluation storage unit 42 receives and stores the user evaluation input via the evaluation input unit 23.

The destination determining means 43 refers to the user's evaluation stored in the evaluation storage section 42 and refers to the information storage section 1.
In step 1, the destination of the newly stored information is determined.

When the user terminal receives the recommended information from the destination selection device 40, it inputs an evaluation for this recommended information, and the evaluation input unit 23 sends this evaluation to the evaluation storage unit 42. I do.

The evaluation storage unit 42 which has received this evaluation from the evaluation input unit 23 updates the evaluation for each user stored therein. This updated evaluation is sent to the destination determination means 4.
3 is used when determining the next destination.

[Explanation of Operation] Next, the operation of the second invention will be described with reference to FIG.

When information is sent from the user terminal 20 or the information system 30, the information storage unit 11 registers the information (A1).

The information analysis means 12 extracts a characteristic attribute from the information stored in the information storage section 11 and stores it in the attribute storage section 13 (A2). Up to this point, it is the same as the first invention.

Next, the destination determining means 43 determines the destination of the information newly stored in the information storage unit 11 by referring to the evaluation for each user stored in the evaluation storage unit 42 (A
31) Then, the determined destination is stored in the destination storage unit 15.

Next, the information transmitting means 17 transmits the information newly stored in the information storage section 11 to the destination stored in the destination storage section 15 and transmits the information stored in the transmission method storage section 16 to the destination. Transmission is performed according to the method (A4).

Next, the evaluation storage unit 42 stores the information
7 receives the evaluation for the information sent, and stores and updates the evaluation for each user (A32).

FIG. 12 shows an example of the evaluation for each user stored in the evaluation storage section 42. In the example of FIG. 12, the average value of the evaluation of the information sent in the past is held for the users A to E of the sending (recommending) destinations. In addition, this evaluation shall be a 5 point perfect score.

In FIG. 12, for example, the user A has the highest evaluation of the information transmitted by the personal computer communication F (5
Points), the lowest information sent from user B (0 points)
Indicates a thing. Further, “−” in the figure indicates information that has not been evaluated.

The evaluation storage unit 42 is in the state shown in FIG. 12, and it is assumed that new information has been input from the personal computer communication F (information system 30) to the information storage unit 11.
The operation of the second invention will be described in detail.

When new information is stored in the information storage unit 11, the information analysis unit 12 extracts the attribute of the information, stores the extracted attribute in the attribute storage unit 13, and evaluates and stores the sender. To the unit 42.

Next, the destination determining means 43 determines the destination of the information newly stored in the information storage unit 11. In the case of this example, since the information is sent from the personal computer communication F, the personal computer communication F
The user who has a high evaluation of the information of the above is the destination. In this example, assuming that a user who has evaluated four or more points is determined as the destination, the personal computer communication F
Since the users A and E have evaluated four or more points, the users A and E are determined as destinations.

The user terminals 50 of the users A and E who have received the information via the information sending means 17 input the evaluation for the information received via the evaluation input unit 23.

The evaluation storage unit 42 receives the evaluation from the user via the evaluation input unit 23 and updates the evaluation information.

(Embodiment of the Third Invention) Next, an embodiment of the third invention will be described in detail.

[Description of Configuration] FIG. 10 is a block diagram showing the configuration of the third embodiment of the present invention. This block diagram is
This is the same as the configuration of the second invention. However, the third embodiment differs from the second embodiment in the function of the destination determining means 43. FIG. 13 is a block diagram of the destination determining means 43 according to the third embodiment.

Referring to FIG. 13, destination determining means 43
Is a user similarity calculation unit 431 and a fitness estimation unit 43
2. Interest learning means 433, second goodness-of-fit estimation means 43
4. Consistency degree integration means 435 and destination selection means 436. These configurations are described in Japanese Patent Application No. 9-38696 filed by the present applicant prior to the filing of the present invention, and in the present embodiment, the method described in Japanese Patent Application No. 9-38696 is applied. Is applied. Hereinafter, an embodiment in the case where Japanese Patent Application No. 9-38696 is applied will be described.

The inter-user similarity calculating means 431 calculates the similarity between users by using the user's evaluation of the information stored in the evaluation storage section 42.

The first matching degree estimating unit 432 calculates the matching degree of information from the user evaluation stored in the evaluation storage unit 42 and the similarity between users calculated by the similarity calculating unit 431 between users. Is estimated.

The interest learning means 433 calculates the user's information based on the attributes of the information stored in the attribute storage unit 13, the evaluation stored in the evaluation storage unit 42, and the fitness estimated by the first fitness estimation unit 432. Learn interests. It is conceivable that the user's interest is expressed by attributes of information such as keywords and their weights.

Based on the attributes of the information stored in the attribute storage unit 13 and the evaluations stored in the evaluation storage unit 42, the interest learning unit 433 determines what information the user Learn the relationship of whether or not you have given an evaluation as interest. For example, “the requester has been highly evaluated in the past for information included in the keyword“ baseball ”. Learn the relationship between the attribute "" and the user's evaluation as interest.

Further, the interest learning means 433 calculates the user's relevance to the information stored in the attribute storage unit 13 and the information estimated by the first relevance estimating means 432.
The relationship between the attribute of information and the degree of conformity to the requester is also learned as interest. For example, consider that the user has evaluated the information including the keyword “baseball” in the past with high evaluation. In this case, it is assumed that there is another user who is highly evaluated for information including the keyword “baseball” similarly to this user. For the information that the other user has evaluated but has not yet evaluated, the user learns the relationship between the attributes of the information and the evaluation of another user. For example, if another user who has a similar preference to the user has a high rating for information having the keyword “fishing” in addition to “baseball”, It seems that the relevance is high for information that has the keyword "fishing" in addition to "". The interest and the relationship between the attribute and the degree of matching to the user are learned as interest.

Next, the second suitability estimating means 434 does not evaluate any user from the attribute of the information stored in the attribute storage section 13 and the interest of the user learned by the interest learning means 433. The degree of conformity of the information to the user is calculated and transmitted to the degree of conformity integration means 434.

It is also conceivable that the suitability estimating means 434 estimates the suitability of information evaluated by a small number of users in addition to information evaluated by no one.

The fitness integrating means 435 integrates the fitness calculated from the first fitness estimator 432 and the second fitness estimator 434 and transmits the integrated fitness to the destination selection means 436.

[Description of Operation] Next, the operation of this embodiment will be described with reference to FIG.

The inter-user similarity calculating means 431 calculates the similarity between the users by using the evaluations of the requester and the users other than the requester stored in the evaluation storage unit 42 (A31).
1). The first matching degree estimating means 432 is a storage
Then, based on the user evaluations stored by the user and the inter-user similarity calculated by the inter-user similarity calculation means 431, the degree of suitability of each information to the user is estimated (A312).

The interest learning means 433 calculates the attribute of the information stored in the attribute storage section 13, the user's evaluation stored in the evaluation storage section 42, and the fitness estimated by the first fitness estimation section 432. Learn the relationship between the attribute of the information and the evaluation of the user or the degree of conformity to the user as interest (A31)
3).

The second suitability estimating unit 434 is the attribute storing unit 1
3 from the attributes of the information stored by the interest learning unit 433 and the interests of the users learned by the interest learning unit 433, the relevance of each piece of information that no one has evaluated to the user is estimated.
5 (A314). At this time, in addition to the information that no one has evaluated, the degree of suitability of the information with a small number of evaluated users to the requester may be estimated.

The fitness integrating means 435 integrates the fitness from the first fitness estimating means 432 and the second fitness estimating means 434 and transmits them to the destination selecting means 436. When the two fitness estimating units 432 and 434 estimate different fitness levels for the same information, the fitness level integrating unit 435 unifies the fitness levels (A315).

The destination selection unit 435 selects information that suits the user's interest by using the unification degree of compatibility by the degree of integration unit 435, and stores the result in the destination storage unit 15 (A316). ).

FIG. 15 shows an example of the evaluation for the user information stored in the evaluation storage section 42. The evaluation is made up of three items: an information ID representing the evaluated information, the name of the evaluated user, and an evaluation value.

The similarity between users is obtained, for example, by using a vector having an evaluation value for each piece of information of the user as an element, and using the correlation coefficient between the evaluation vectors of the users as the similarity between users. Can be considered.

As an interest learning method, the relationship between the attribute of information, the evaluation value, the attribute of information, and the fitness estimated by the first fitness estimator may be learned. For example, the learning result of interest

[0117]

(Equation 4)

Can be calculated. In this [Equation 1], the evaluation value or the estimated fitness level indicates that the evaluation value is used if there is an evaluation, and the estimated fitness level is used if there is no evaluation.

As a method of estimating the degree of fitness used by the second degree of fitness estimating means, for example, it is conceivable to use a correlation coefficient between a feature vector of information and a profile.

In the second fitness estimating means, the fitness may be estimated for information for which the fitness cannot be estimated by the first fitness estimating means, or for information which can be estimated but has low accuracy. For example, the degree of conformity may be estimated for information that no user has evaluated or information that has a small number of evaluated users.

When the two information estimating means 432 and 434 in the information integrating means 435 estimate different fitness values for the same information, the fitness level is unified.
It is conceivable to select a higher degree of fitness, select a lower degree of fitness, take an average of two degrees of fitness, or select a higher degree of reliability of the degree of fitness. From these methods, a method may be selected according to the field to which the information belongs so that the reliability of the relevance after unification becomes high. In this embodiment, an example in which information is recommended to a user has been described. However, a case where information is registered in an information system can also be realized by a similar operation.

(Fourth Embodiment) Next, a fourth embodiment of the present invention will be described with reference to the drawings.

[Description of Configuration] Referring to FIG. 16, the destination selection device 60 and the information system 70 are different from each other in that the respective evaluation storage units 61 and 71 transmit user evaluation information to each other. And the third invention.

When the evaluation storage unit 61 receives the evaluation, it stores the evaluation and sends the evaluation to the evaluation storage unit 71 of the information system 70 that has sent the evaluated information.

Further, the evaluation storage unit 71 stores the destination selection device 6
When the evaluation information is received from 0, the destination selection device 60 stores the evaluation information and sends the evaluated information.
The evaluation is sent to the evaluation storage unit 61.

[Description of Operation] Next, the operation of the fourth invention will be described with reference to FIG.

When the evaluation storage unit 61 receives the evaluation, it stores it (B1), and acquires the information system name that has sent the evaluated information from the information storage unit 11 (B2). If the information system name is not the destination selection device itself (B3),
The evaluation information is sent to the information system (B4).

When the evaluation storage unit 71 receives the evaluation information from the destination selection device 60, it stores it (C1), and acquires from the information storage unit 72 the destination selection device name that has sent the evaluated information (C1). C2). The evaluation is sent to the information destination selection device (C3).

With these operations, the evaluation storage unit 61 can receive, via the information system, the evaluation of the information created by the user of the information selection and publishing device by the user of the other information destination selection device. .

With this configuration, in the destination determining means 43, the attribute of the information stored in the attribute storage unit 13 and the information of the user of the destination selection device stored in the evaluation storage unit 61 are stored. Suitable for registering the information created by the user of the information destination selection device using the evaluation of the information and the evaluation of the information created by the user of the information selection and publication device by the user of the other information destination selection device. Information system selected, and information suitable for the user's interest can be recommended to each user of the destination selection device.

(Fifth Embodiment) Next, a fifth embodiment of the present invention will be described with reference to the drawings.

[Explanation of Configuration] Referring to FIG. 18, destination determining means 81 of destination selection device 80 and information system 9
The second and third inventions are different from the second and third inventions in that the zero interest storage unit 91 sends information about the user or the interest in the information system to each other. Also, the interest here is
This is the same as that described in the second embodiment of the first invention.

When the destination determining means 81 learns the user's interest or the interest in the information system, the information destination
The learned interest is sent to the interest storage unit 91 of the.

The interest storage section 91 stores the destination selection device 8
When the learned interest is received from 0, it is stored, and the destination determination means 8 of another information destination selection device 80 is stored.
1. Send the user's interest received to 1.

[Description of Operation] Next, the operation of the fifth invention will be described with reference to FIG.

In the operation of the fifth invention, the following processing is added between the interest learning (A313) and the fitness estimation (A314) of the operation of the second invention.

The destination determining means 81 learns the user's interest (A313). The information system name to which the user belongs is acquired from the information storage unit 11 (D1). If the information system name is the destination selection device (D2), the interest of the user is sent to the interest storage unit 91 of the information system 90 (D
3). The fitness is estimated (A314).

The interest storage unit 91 stores the destination selection device 8
When the user's interest is received from 0, it is stored (E
1). The received user's interest is sent to another information destination selection device (E2).

With these operations, the destination determining means 81
Can receive the user's interest in another information destination selection device via the information system.

As a result, in the destination determining means 81, the attribute of the information stored in the attribute storage unit 13, the evaluation of the information of the user of the destination selection device stored in the evaluation storage unit 42, and the information Using the interest of the user of the other information destination selection device sent from the system, select an information system suitable for registering the information created by the user of the destination selection device, and Information suitable for the user's interest can be recommended to each user of the selection device.

(Embodiment of the Sixth Invention) Next, an embodiment of the sixth invention will be described with reference to the drawings.

[Explanation of Configuration] Referring to FIG. 20, in the destination selection device 100, the evaluation storage unit 101 sends another information destination selection device 100 and user evaluation information to each other. 3 is different from the third invention. Also,
In the sixth embodiment, the destination selection device 100 also functions as an information system.

When the evaluation storage unit 101 receives the evaluation, the evaluation storage unit 101 stores the evaluation and sends the evaluation evaluated information to the evaluation information storage unit 101 of the information destination selection device 100 that has sent the information evaluated. Further, the evaluation storage unit 101 receives, from another information destination selection device 100, the user's evaluation of the information transmitted by the information destination selection device.

[Description of Operation] Next, the operation of the sixth invention will be described with reference to FIG.

When the evaluation storage unit 101 receives the evaluation, it stores it (F1). The name of the information destination selection device that has sent the evaluated information is obtained from the information storage unit 11 (F2). If the information destination selection device name is not the destination selection device itself (F3), the evaluation information is sent to the information destination selection device (F4).

With these operations, the evaluation storage unit 101
An evaluation of the information by the user of the other information destination selection device can be received.

As a result, in the destination determining means 101, the attribute of the information stored in the attribute storage unit 13, the evaluation of the information of the user of the destination selection device stored in the evaluation storage unit 101, and other information are stored. Using the evaluation of the information of the user of the information destination selection device, selecting another information destination selection device suitable for transmitting the information created by the user of the destination selection device, and selecting the destination. Information suitable for the user's interest can be recommended to each user of the device.

(Embodiment of the Seventh Invention) Next, an embodiment of the seventh invention will be described with reference to the drawings.

[Explanation of Configuration] Referring to FIG. 22, the destination selection device 110 is different from the destination determination device 111 in that another destination selection device 110 and information relating to the user's interest are transmitted to each other. And the third invention. In the seventh embodiment of the present invention, the destination selection device 110 also serves as an information system.

When the destination determining means 111 learns the user's interest, the destination determining means 1 of another information destination selecting device is used.
The user's interest is sent to 11.

[Description of Operation] Next, the operation of the seventh invention will be described with reference to FIG.

In the operation of the seventh invention, the following processing is added between the interest learning (A313) and the fitness estimation (A314) of the operation of the second invention.

The destination determining means 111 learns the user's interest (A313), and sends the user's interest to the destination determining means 111 of another information destination selecting device 110 (G1).
The fitness is estimated (A314).

With these operations, the destination determining means 111
Can receive the interest of the user of another destination selection device.

As a result, in the destination determining means 111, the attribute of the information stored in the attribute storage unit 13, the evaluation of the information of the user of the destination selection device stored in the evaluation storage unit 42, and the like Other information destinations suitable for sending information created by the user of the destination selection device, using the interests of the users of the other information destination selection devices sent from the information destination selection device of the present invention. Select a selection device, and
Information suitable for the user's interest can be recommended to each user of the destination selection device.

Also, in order to realize the destination selection device in the first to seventh aspects of the present invention by a computer,
The effects of the present invention do not change even in a form in which a program for generating the above-described functions on a computer is provided. In this case, this program is stored in a computer-readable recording medium.

[0157]

A first effect of the present invention is that a user who has created information similar to each piece of information is found by obtaining a similarity between pieces of information from the attribute of the information, and similar pieces of information are registered. It is to understand the information system. As a result, it is possible to select an information system suitable for posting information created by the user of the destination selection device, and to select information suitable for the user for each user of the destination selection device.

The second effect is that the interest of the user and the interest handled by the information system are learned from the attribute of the information, and the degree of relevance between the learned interest and the information is calculated. That is, an appropriate information system can be selected for posting the selected information, and for each user of the destination selection device, information suitable for the user's interest can be selected.

Further, the effect of the second to seventh inventions is that, in the end, a person reads and determines whether or not the information of the conventional method of selecting information based on attributes such as keywords and the frequency of word appearance is valuable. It is alleviating the problem of having to do it. The reason is that the value evaluation of information by a person is introduced into the fitness estimation.

Further, another effect of the second to seventh inventions is that the conventional method of selecting information based on attributes such as keywords and the frequency of appearance of words can be applied to unknown attribute values or information having words. Therefore, the disadvantage that the filtering accuracy is low is reduced. The reason is that even if an attribute value or an unknown word that is not included in the information evaluated by the user is included in the information evaluated by another user, it can be used for estimating the fitness.

Another advantage of the second to seventh inventions is that the conventional method of selecting information based on user evaluation is that only information evaluated and recommended by someone can be obtained. That is, the accuracy of information selection is low unless a certain amount of evaluation is collected. The reason for this is that the degree of suitability is also estimated using the attributes of the information.

[Brief description of the drawings]

FIG. 1 is a block diagram showing an embodiment of the configuration of the first invention.

FIG. 2 is a flowchart showing an example of the operation of the first invention;

FIG. 3 is an example of information sent to an information storage unit of the present invention.

FIG. 4 is an example of information stored in an information storage unit of the present invention.

FIG. 5 is a block diagram showing the configuration of the first embodiment of the first invention.

FIG. 6 is an example of information stored in an attribute storage unit of the present invention.

FIG. 7 is a flowchart showing the operation of the first embodiment of the first invention;

FIG. 8 is a block diagram showing the configuration of a second embodiment of the first invention.

FIG. 9 is a flowchart showing the operation of the second embodiment of the first invention.

FIG. 10 is a block diagram showing an embodiment of the configuration of the second and third inventions;

FIG. 11 is a flowchart showing an example of the operation of the second invention.

FIG. 12 is an example of information held in an evaluation storage unit of the present invention.

FIG. 13 is a block diagram showing a configuration according to the third embodiment of the present invention;

FIG. 14 is a flowchart showing the operation of the embodiment of the third invention;

FIG. 15 shows another example of information held in the evaluation storage unit of the present invention.

FIG. 16 is a block diagram showing an embodiment of the configuration of the fourth invention.

FIG. 17 is a flowchart showing an example of the operation of the fourth invention;

FIG. 18 is a block diagram showing an embodiment of the configuration of the fifth invention.

FIG. 19 is a flowchart showing an example of the operation of the fifth invention;

FIG. 20 is a block diagram showing an embodiment of the configuration of the sixth invention.

FIG. 21 is a flowchart showing an example of the operation of the sixth invention;

FIG. 22 is a block diagram showing an embodiment of the configuration of the seventh invention.

FIG. 23 is a flowchart showing an example of the operation of the seventh invention;

FIG. 24 is a block diagram showing a configuration of a conventional technique.

[Explanation of symbols]

 Reference Signs List 10 destination selection device 11 information storage unit 12 information analysis unit 13 attribute storage unit 14 destination determination unit 15 destination storage unit 16 transmission method storage unit 17 information transmission unit 20 user terminal 21 information presentation unit 22 information input unit 23 evaluation Input unit 30 Information system 31 Information sending unit 32 Information receiving unit 40 Destination selection device 41 Information analysis unit 42 Evaluation storage unit 43 Destination determination unit 50 User terminal 60 Destination selection device 61 Evaluation storage unit 70 Information system 71 Evaluation storage Unit 80 destination selection device 81 destination determination unit 90 information system 91 interest storage unit 100 destination selection device 101 evaluation storage unit 110 destination selection device 111 destination determination unit 141 similarity calculation unit 142 destination selection unit 143 interest learning Means 144 Suitability calculation means 145 Destination selection means 14 Interest storage means 431 Inter-user similarity calculation means 432 Suitability estimation means 433 Interest learning means 434 Suitability estimation means 435 Suitability integration means 436 Destination selection means 500 Electronic mail center 501 Mail reception unit 502 Mail content analysis unit 503 Optimal Bulletin board selection unit 504 Bulletin board registration unit 505 Selection result sending unit 520 E-mail content analysis result storage unit 530 Bulletin board selection dictionary 540 Bulletin board 600 Communication network 700 User terminal

Claims (21)

[Claims] An information exchange between a plurality of servers that store information and provide the stored information and one or more clients having at least a function of browsing the information provided by the server. In the information distribution system, information exchanged between the server and the client is input and stored, an attribute of the stored information is extracted, and the information exchanged according to the extracted attribute is performed. An information distribution system comprising: a destination selection device that determines a destination of information to be transmitted and transmits the information to be transmitted to the destination. 2. The information distribution system according to claim 1, wherein the client creates the exchanged information, sends the created information to the destination selection device, An information distribution system comprising: receiving information created by the client; and determining a destination of the information. 3. The information distribution system according to claim 1, wherein the server selects information to be exchanged with the client or another server from the stored information. And receiving the information to be exchanged from the server, the destination selection device determines a destination of the information. 4. Exchange of information between a plurality of servers that store information and provide the stored information, and one or more clients having at least a function of browsing the information provided by the server. In the information distribution method, information exchanged between the server and the client is input and stored, an attribute of the stored information is extracted, and the exchanged information is exchanged according to the extracted attribute. An information distribution destination, and transmitting the exchanged information to the destination. 5. The information distribution system according to claim 1, wherein the attribute to be extracted is capable of calculating a degree of similarity of information to be exchanged, and An information distribution system, wherein a destination of the exchanged information is determined by comparing similarities of information exchanged in the past. 6. The information distribution system according to claim 1, wherein said attribute is used to learn an interest of a user using said client and an interest of information provided by said server. An information distribution system which obtains a degree of conformity between the learned interest and the exchanged information, and determines a destination of the exchanged information according to the degree of adaptation. 7. The information distribution system according to claim 1, wherein the client is a destination of the information,
An information distribution system comprising: inputting a user's evaluation of transmitted information, storing the input evaluation, and determining a destination of the exchanged information based on the stored evaluation. . 8. The information distribution system according to claim 7, wherein a conformity between the information and the user is obtained by using an attribute of the information and an evaluation of the transmitted information, and the exchange is performed by using the conformity. An information distribution system characterized in that a user conforming to information to be transmitted is determined as a destination. 9. An exchange of information between a plurality of servers that store information and provide the stored information and one or more clients having at least a function of browsing information provided by the server. An information distribution system capable of inputting and exchanging information exchanged between the server and the client; an information analyzing unit for extracting an attribute from the information stored in the information storage unit; An attribute storage unit that stores the attribute extracted by the information analysis unit; a destination determination unit that determines a destination of the exchanged information according to the attribute stored in the attribute storage unit; and the destination determination unit. Information sending means for sending the exchanged information to the destination determined in the step (a). Information distribution system. 10. The information distribution system according to claim 9, wherein the attribute extracted by the information analysis means is capable of calculating a similarity between the exchanged information, and the destination determination means includes: The exchanged information and a similarity calculation unit that calculates the similarity of the information exchanged in the past, and a similarity calculated by the similarity calculation unit are compared, and information similar to the exchanged information is compared. A destination determining means for determining the exchanged server or client as a destination. 11. The information distribution system according to claim 9, wherein the destination determining means uses an attribute stored in the attribute storage unit to determine whether an interest of a user who uses the client and an interest of the server. Interest learning means for learning the interest of the information to be provided; fitness calculating means for calculating the fitness between the interest learned by the interest learning means and the exchanged information; and fitness calculating by the fitness calculating means. Destination selection means for determining a destination of the exchanged information according to the
An information distribution system comprising: 12. The information distribution system according to claim 9, further comprising: an evaluation input unit on the client side for inputting a user's evaluation of information transmitted from the destination selection device, The destination selection device further includes an evaluation storage unit that stores a user's evaluation of information input via the evaluation input unit, and the destination determination unit determines the evaluation stored in the evaluation storage unit. An information distribution system for determining a destination of the exchanged information based on the information. 13. The information distribution system according to claim 9, further comprising: an evaluation input unit configured to input a user's evaluation of information transmitted from the destination selection device on the client side, The destination selection device further includes an evaluation storage unit that accumulates a user's evaluation of information input via the evaluation input unit, and the destination determination unit includes an attribute of the information and the destination selection device. The user's evaluation of the information sent from the user is used to determine the degree of conformity between the information and the user, and using this degree of conformity, the user who matches the information exchanged is determined as the destination. Information distribution system. 14. The information distribution system according to claim 12, further comprising: a second evaluation storage unit for storing a user's evaluation of the information on the server side; and an evaluation storage on the destination selection device side. The unit, when receiving the evaluation of the information sent from the evaluation input unit on the client side, stores the evaluation and sends the evaluation to the second evaluation storage unit of the server that sent the information. An information distribution system characterized by: 15. The information distribution system according to claim 11, further comprising: an interest storage unit that stores interest in information on the server side; wherein the destination determining unit learns the interest by the interest learning unit; The server that sends the learned interest to the server, and receives the interest from the destination determining means, stores the received interest in the interest storage unit, and sends the interest to the destination selection device. An information distribution system for transmitting the interest to a destination selection device different from the one described above. 16. The information distribution system according to claim 14, wherein said destination selection device also functions as said server. 17. The information distribution system according to claim 15, wherein said destination selection device also functions as said server. 18. Exchange of information between a plurality of servers that store information and provide the stored information, and one or more clients having at least a function of browsing the information provided by the server. In a recording medium recording an information distribution program capable of performing the following, an information storage function for inputting and exchanging information exchanged between the server and the client into a computer; and an attribute from the information stored by the information storage function. An information analysis function to be extracted; an attribute storage function to store the attribute extracted by the information analysis function; and an attribute stored by the attribute storage function,
A destination selection function having a destination determination function of determining a destination of the exchanged information, and an information transmission function of transmitting the exchanged information to the destination determined by the destination determination function. A recording medium on which an information distribution program is recorded. 19. A recording medium on which the information distribution program according to claim 18 is recorded, wherein the attribute extracted by the information analysis function is capable of calculating a similarity between the exchanged information. The destination determining function compares the exchanged information with a similarity calculation function that calculates a similarity of information exchanged in the past, and a similarity calculated by the similarity calculation function. A destination determining function for determining the server or the client that exchanged information similar to the above as a destination, a recording medium storing an information distribution program. 20. A recording medium on which the information distribution program according to claim 18 is recorded, wherein the destination determining function uses an attribute stored by the attribute storing function to interest a user who uses the client. And an interest learning function for learning interest in information provided by the server; a fitness calculation function for finding a fitness between the interest learned by the interest learning function and the exchanged information; and a fitness calculation function. A destination selection function for determining a destination of the exchanged information in accordance with the calculated degree of conformity; a recording medium storing an information distribution program. 21. A recording medium on which the information distribution program according to claim 18 is recorded, wherein an evaluation input function for inputting a user's evaluation of information sent from the destination selection function is generated on the client side. In a further embodiment, the destination selection function further includes an evaluation storage function for accumulating a user's evaluation on information input by the evaluation input function, and the destination determination function includes an evaluation stored by the evaluation storage function. A recording medium storing an information distribution program, wherein a destination of the exchanged information is determined based on the information.